Atlanta Service Jam 2018

We held our 8th Service Jam in the offices of Sparks Grove. The weekend was a blast and participants moved through fun, engaging activities, putting into action service design tools like bodystorming, storyboarding, service safaris, quick research methods, and rapid group ideation and iteration, all refined through multiple prototypes.

Thank you so very much to our sponsors, Sparks Grove, Orange Sparkle Ball, MJV, and Chick-fil-A. We are so proud to have had these organizations support us and help drive the 2018 Jam’s success!

The Global Service Jam theme for 2018 was, “Yes, No, Maybe.” Teams used this as a jumping off point to guide their thinking over the course of the weekend.

Check out final projects that different teams created in less than 48 hours…

Team InBalance

A service that guides grocery shoppers in staying on track with their nutrition and health objectives. They begin by defining goals, then use a mobile app to scan as they shop, receiving real-time feedback about the items they’re about to purchase and their health impacts.


Team Quest

A kids’-only activity tracker that synchronizes with their parents’ smart devices, used to motivate kids with rewards and positive feedback. Quest is designed to encourage kids to develop a healthier relationship with technology. Unlike FitBit, the product allows parents to reward completion of a range of activities and hobbies.



Team TheChoice

A service to match job seekers with potential employers. It reduces bias by first pre-screening candidates based on skills, experience, and other qualifications. Beyond the matching algorithm, it also provides a set of tools to facilitate more objective interviews through the use of avatars and voice modulation.

Cover image

Team Risk It for the Biscuit

This service helps create alignment between employer stakeholders when hiring new staff. It uses an interface of sliders arranged similarly to a spider or radar chart, and attributes collectively determined as being important are placed along each axis. Team members then each individually set the skill balance they believe is most preferable and the service creates a summary of everyone’s preferences, showing the ideal balance based on everyone’s opinion.